Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.

Python is easy to use, powerful, and versatile, making it a great choice for beginners and experts alike. Python’s readability makes it a great first programming language — it allows you to think like a programmer and not waste time understanding the mysterious syntax that other programming languages can require. For instance, look at the following code to print “hello world” in Java and Python.

Java

Python

print("Hello World")

Instead of focusing on how to get your code to even run, you’ll be able to focus on learning actual programming concepts. And once you have those tools under your belt, if you move on to other languages, you’ll be able to easily understand a given piece of code.

The Dropbox Desktop Client is written entirely in Python, which speaks to its cross-platform compatibility. Dropbox has about 400 Million users.Dropbox’s server-side code is in Python as well, making it the majority language used at the company.

Google uses a mix of languages, with C++, Python, and now Go among them. Early on at Google, there was an engineering decision to use “Python where we can, C++ where we must.” Python was used for parts that required rapid delivery and maintenance. Then, they used C++ for the parts of the software stack where it was important to have very low latency and/or tight control of memory.

If you take a look at these companies, you can see they benefit from Python for its ease of use. You can also see that Python can be used for a wide variety of applications, and as you learn the basics of Python, you’ll be able to create almost anything you want. Many great developers contribute daily to the Python community by creating Python libraries. These libraries can help you get started so that you don’t have to write code to reinvent the wheel. So for example, if you want to do complex image processing, the Python Imaging Library will help you get started. Want to create games? PyGame is a Python game engine. If data science is your thing, SciPy is the library for you.

There are lots of great reasons to learn python and hopefully, a few of the examples and resources I’ve shown today have helped you see how you could be using it too. Ready to start learning Python? Just enroll your names at CPthonian batch and get started.